AI prompt generator for consulting firms ChatGPT prompts and AI tools for every consultant
This AI prompt generator for consulting firms turns the challenge your client faces into a ready-to-paste prompt for ChatGPT, Copilot, Claude or Gemini. It’s built for consultants, partners and strategy, digital or operations teams that prepare proposals, diagnostic plans, workshops, executive summaries or deliverable QA. It was created by Founderz, which also runs AI training for businesses.
- Free
- About 2 minutes
- Runs in your browser
- ChatGPT, Claude, Gemini and Copilot
At a glance
- What it does: turns the client request into a professional prompt.
- Which tasks: 10 job types, from proposal to client communication.
- What you get: a prompt ready to copy, plus follow-up requests.
AI prompt generator for consulting firms
Describe the project or the client request and get a professional prompt for proposals, diagnostics, workshops, executive summaries, project plans and deliverable QA. Only step 1 is required: everything else stays on Auto.
How to use the AI prompt generator for consulting firms, step by step
Only the first step is required: anything you skip stays on Auto.
- The essentials. Describe the project or the client request and pick one of 10 jobs under “What do you need to prepare?”, from consulting proposal to client communication.
- Client and project. Set the “Type of client” and the “Project stage”; under Advanced settings you can set the “Main challenge”.
- Audience and format. Choose “Who is it for?” and the “Format”; under Advanced settings, “Where will you use it?” and the “Tone”.
- Method and quality. Pick the “Working method” and the “Level of detail”; under Advanced settings, the “Evidence you will attach”, the “Extra controls” and the “Response language”.
- Generate and copy your prompt. Click “Generate prompt”, enter your email to see the whole prompt and copy it.
The “What do you need to prepare?” field covers ten jobs: consulting proposal, diagnostic plan, workshop design, executive summary, project plan, deliverable QA, market research, interview or discovery, transformation plan and client communication. Under “Working method” you can ask for an issue tree, hypotheses and evidence, scenarios, interviews and workshop, quantitative analysis or an iterative plan.
Example: a ChatGPT prompt for a consulting proposal
With the generator’s “Solid proposal” example, the prompt starts like this. It’s an excerpt: the button copies the full prompt.
ROLE Act as a partner at a management consulting firm with experience in proposals, diagnostics, workshops and transformation projects for private and public sector clients. You work hypothesis-first and from evidence: you structure problems in a MECE way (no overlaps and no gaps), you keep facts, hypotheses, recommendations and client decisions apart, and you never fill gaps with invented data. You write consulting proposals that win because they show the firm understood the problem before selling the approach. GOAL Write a proposal that restates the client need, explains the phased approach and makes scope, deliverables, assumptions and what is needed from the client clear. CONTEXT Context provided by the user (treat it as your main source): [START OF BRIEF] A group of 25 veterinary clinics has asked us for a proposal to improve profitability. Its margin fell two points in a year; the CFO thinks the problem is procurement, while operations points to vet turnover. We present to the leadership team in ten days and do not have their data by clinic yet. [END OF BRIEF] ... OUTPUT FORMAT Deliver a proposal with these sections: 1) understanding of the need; 2) objectives and key question; 3) phased approach in a table with columns Phase, Objective, Activities, Deliverable, Weeks; 4) scope, assumptions and dependencies; 5) team by role and governance; 6) next steps to start. ...
The full prompt adds the starting material, the constraints against invented data, the phased working steps and a final checklist. It closes with a section of assumptions and open questions ranked by impact.
The result: the AI delivers a proposal with a phased approach and explicit scope and assumptions, instead of generic text with invented data.
Best practices for an AI tool in your consulting workflow
6 quick tips
- Anonymize the client in the brief (industry, size, challenge) and work only with documents the client has authorized.
- Under “Extra controls”, choose “Assumptions to validate” and “Client dependencies”: they do the most to stop a proposal from promising what is not yet known.
- Tick “Scope in and out” under “Extra controls” so the assistant writes down what is excluded and doesn’t widen the proposal on its own.
- For deliverable QA, pick that job under “What do you need to prepare?”, paste the draft into the description and ask for a review instead of a full rewrite.
- Treat the first answer as a draft: refine it with follow-up questions in the same chat, and ask for actionable next steps with an owner and a date. The AI doesn’t replace your judgment; it helps you save time on the first version.
- Assign the review to the project partner or account lead before anything goes to the client.
Use cases: from a business idea to a LinkedIn post
- Business development A proposal structure, a presentation script for the executive sponsor and the follow-up email. Use “Client communication” to draft a LinkedIn post about an anonymized case, ready for review.
- Discovery An interview guide, a diagnostic plan and a matrix of open questions to test against data.
- Analysis Pick “Market research” and ask in the brief for a SWOT analysis, a value chain or a market map built only from the data you provide.
- Delivery A project plan table, a workshop design and a transformation plan for the steering committee.
- Growth work With “Main challenge” set to “Commercial growth”, map growth levers and the questions to consult with the sales team before any recommendation.
- Closeout The summary of recommendations and QA of the final deliverable.
What makes good prompts in consulting: from value proposition to validated output
A good consulting prompt gives the assistant a role, a specific task, the client context, the authorized material it can use, the constraints and the output format. That is most of what people mean by prompt engineering.
What separates a useful answer from a generic one is structured thinking: keeping fact, analysis, recommendation and client decision apart. The generator asks for that by default, with controls that rule out invented data or references, guaranteed impact or return, and reuse of other firms’ proposals without permission.
Generative AI is good at speed, and that is where AI can help a consulting practice most: it can streamline the first draft of a proposal, summarize interview notes or turn a business idea into a structured set of questions to consult with the client. It is weak at judgment and at facts it has never seen. So keep the consultant in charge of the conclusions, and let the AI automate the parts that are repetitive: structure, formatting, checklists and first versions.
Automate the repetitive work, consult the people
In a consulting firm the hours that hurt are rarely the thinking: they are the formatting, the fifth version of the same slide and the follow-up email nobody wants to write. Those are the jobs to hand over.
Interviews, workshops and the moment you consult the sponsor on a trade-off stay with the team. A short rule helps: if a task needs judgment about this client, a consultant does it; if it needs structure, the AI drafts it and a consultant checks it.
The best AI tools for consultants know the specific client
Lists of the best AI prompts for consultants, or of ChatGPT prompts for consultants copied from a blog, are a good start, but a fixed template doesn’t know your client, your stage or your deliverable. The generator asks for those things in the fields and writes them into the prompt, together with the review steps a firm would expect. That makes it one of the more practical options for a consulting team that needs the same quality on every project, whether the team works in ChatGPT, Copilot or another approved assistant.
A good prompt also fits the workflow you already have. In strategy consulting that usually means one prompt per step: one to draft a value proposition from the discovery notes, one to turn market data the client shared into a table, one to outline a business plan or a project management schedule, and one to check the deliverable.
If the answer misses, adjust the prompt in the generator instead of rewriting it by hand. That is how you create effective prompts the whole team can repeat, and how responsible AI use becomes a habit rather than a policy document.
More ready-to-use prompts
If you’d rather start from fixed templates, the guide to AI prompts for consulting firms shows how to speed up proposals without losing rigor. For other industries and roles, browse the Founderz AI prompt library.
Why I built these generators
Frequently asked questions
Is there a free version of the generator?
Yes, it’s free. Before it asks for anything, it shows you a preview with the first sections of the prompt. To see the whole prompt and copy it, enter your email and accept the Privacy Policy; receiving communications from Founderz is optional.
It only asks once per visit: any prompts you generate after that are shown in full.
Can a consulting firm use confidential client data with ChatGPT?
Only if the client has authorized it and you work in an approved environment. Describe the client in non-identifiable terms and tick “Anonymize client” under “Extra controls” so the prompt accounts for it.
What happens to the data I type?
The generator doesn’t use a language model: it combines your answers with Founderz templates in your browser. It only sends your email to Founderz when you ask to see the prompt, and usage statistics record the options you chose, never your description or the generated prompt.
Which AI tools does it work with?
Any text assistant. The “Where will you use it?” field includes PowerPoint or Copilot, Excel or Google Sheets, Miro or Mural, NotebookLM with sources, Perplexity or web search, and Notion or Confluence, and it adapts the structure of the prompt to the one you pick.
Can I prepare the proposal in Spanish or another language?
Yes. The “Response language” field sets the language the assistant answers in. You can pick Spanish, Portuguese, French, German, Italian, Dutch, other English variants or a bilingual English and Spanish version.
AI training for businesses
If you want your consultants to use AI across client work, Founderz AI training for businesses offers 100% online programs developed in collaboration with Microsoft and tailored to different roles.
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